DocumentCode :
2817105
Title :
Application of Entropy Model to Evaluate Order Degree of University Management Structure
Author :
Wang Xiaoping ; Zhao Guogang
Author_Institution :
Coll. of Econ. & Manage., Heilongjiang Inst. of Sci. & Technol., Harbin, China
fYear :
2009
fDate :
11-13 Dec. 2009
Firstpage :
1
Lastpage :
4
Abstract :
Effective management system in universities plays a key role in achieving their missions in daily operations of the education system and provides the foundation to foster research and the social/economic development contributed by universities. In this paper, the university activities are partitioned to six segments including talent training, scientific research, human resource management, fund management, material management, and strategic management. These segments are defined and implemented into an advanced management system. An entropy model is developed to assess order degree (OD) of the system. The model yields a value of timeliness OD at 0.1445 and veracity OD at 0.3587 in the system, respectively. The model provides a useful tool for improving the estimation of the OD in management processes. By implementing four scenarios into the model, we show that the reduction of executive departments in a proper range of management span can yield higher OD than that from reducing basic branches.
Keywords :
entropy; human resource management; advanced management system; economic development; education system daily operation; effective management system; entropy model application; evaluate order degree; foster research foundation; fund management; human resource management; material management; model yields value timeliness; proper range management; reducing basic branches; reduction executive departments; social development; strategic management; university management structure; Education; Educational institutions; Employment; Entropy; Human resource management; Management training; Material storage; Project management; Research and development management; Technology management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
Type :
conf
DOI :
10.1109/CISE.2009.5363349
Filename :
5363349
Link To Document :
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